On the recordRead 7 Oct 202616 facts
PanFS
VDURA lists its headquarters at 1501 Reedsdale St., Suite 1001, Pittsburgh, Pennsylvania 15233.
Plans and prices
VDURA Data Platform
Priced on request
AI and HPC storage platform · pricing not stated on the opened pages
Read 7 Oct 2026 · vdura.com
On the record
- Architecture
- The platform combines parallel file system performance with object storage resilience and cost efficiency in a unified system.vdura.com · read 7 Oct 2026
- Encryption
- VDURA states that AES-256 encryption protects data at rest and in flight across every tenant data path.vdura.com · read 7 Oct 2026
- Hardware
- VDURA describes its platform as open hardware, letting customers choose preferred hardware vendors.vdura.com · read 7 Oct 2026
- Interfaces
- The platform provides REST, Kubernetes CSI, and CLI interfaces, plus an S3-compatible object storage interface.vdura.com · read 7 Oct 2026
- Multi-tenancy
- The platform supports per-tenant quality of service, namespaces, and access policies.vdura.com · read 7 Oct 2026
- Performance
- VDURA states performance of up to 2.7 TB/s per rack.vdura.com · read 7 Oct 2026
- Pricing availability
- The opened maker pages direct visitors to contact sales and do not state a product price.vdura.com · read 7 Oct 2026
- Product identity
- VDURA Data Platform carries forward the PanFS parallel file system foundation as software-defined storage for AI and HPC workloads.vdura.com · read 7 Oct 2026
- Resilience
- The platform uses MLEC and client erasure coding, and VDURA claims up to 12 nines of durability.vdura.com · read 7 Oct 2026
- Scalability
- The platform is described as scaling linearly to thousands of nodes and supporting tens of thousands of clients.vdura.com · read 7 Oct 2026
- Support
- VDURA advertises global technical support available 24/7/365.vdura.com · read 7 Oct 2026
- Target users
- The maker identifies Neoclouds, AI factories, enterprises, and HPC environments as intended users.vdura.com · read 7 Oct 2026
- Tiering
- Context-Aware Tiering automatically moves data across NVMe, SSD, and object tiers according to access patterns.vdura.com · read 7 Oct 2026
- Use cases
- The maker describes high-throughput storage for AI training, low-latency access for inference, and persistent KV cache and session context.vdura.com · read 7 Oct 2026
